Business Intelligence Software Blog


Business Intelligence Software Blog – Struggling to find the information you need when it comes to Business Intelligence? We’ve created this list of some of our favorite Business Intelligence blogs, covering a wide range of different industry-related topics.

Timo Elliott is an innovation evangelist and international conference speaker who has over 23 years of experience working with business intelligence tools. You can find his popular business intelligence blog at

Business Intelligence Software Blog

Throughout his regular posts, Timo explores innovation in analytics and social media, and the blog covers topics such as big data, collaborative decision making, and social analytics.

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His business intelligence blog also features a number of humorous cartoons that explore some of the pain points surrounding analytics and BI.

Boris Evelson is a leading expert in business intelligence and is a principal analyst at the global research and consulting firm, Forrester Research. Boris has more than 30 years of experience with enterprise software and application implementation, management consulting and strategic advisory skills.

Boris’s posts focus on practices for building BI infrastructure and applications, such as BI business cases, architectural options, organizational structures, and vendor selection.

BI Guru is the business intelligence blog of Maloy Manna, a specialist in business intelligence and data warehousing. He has a wealth of experience implementing business intelligence and data warehousing solutions for a number of Fortune 500 companies.

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His business intelligence blog focuses on the topic of data quality and its related disciplines, including data governance, master data management, business intelligence, big data analytics, and data science.

Check out his business intelligence blog here for a vendor-neutral look at the importance of data quality.

Howard Dresner is a former Gartner researcher and is now president, founder and chief research officer at Dresner Advisory Services. Howard has been in the industry for over 32 years and has published two books on the subject.

Perceptual Edge is a company founded by Stephen Few, a leading expert in the field of data visualization and information design. This business intelligence blog focuses on presenting and communicating data within a business environment and has some great tips for creating best practice data visualizations.

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BI Scorecard founder Cindi Howson has been using, implementing and evaluating business intelligence tools for over 20 years. She advises clients on their business intelligence strategy and vendor choices, and is a frequent speaker at industry events.

The BI Scorecard business intelligence blog is full of valuable content and is updated regularly. Take a look and you may find something that matches your business requirements.

Here at , we believe our business intelligence blog is one of our most valuable resources and, as a result, we spend a lot of time and effort keeping it up to date.

We produce up to five new blog articles every week! We cover a wide range of different topics, providing thought leadership and industry news related to business intelligence, analytics and reporting. The world of data visualization and analytics is moving fast with new players entering the market and established brands absorbing smaller and new entrants every day. To stay at the forefront of the data analytics field, a tool must have that special blend of power, ease of use, brand recognition, and price. Both of these tools have this secret sauce, which is why many teams find themselves comparing Microsoft Power BI vs. Tableau when looking for the perfect data analytics tool.

Top 15 Bi Tools

Power BI and Tableau aren’t the only market leaders in the business intelligence space. To speed up your search process and get a shortlist of BI software that will work for your data needs, click on the image below and fill out the form. Our expert technology advisors will send you their recommendations based on your feature requirements. (Article continues below banner.)

Power BI and Tableau are both household names in the business intelligence space, but they may not be right for every business. To make your search easier, here is a quick list of the top BI software.

Power BI uses existing Microsoft systems like Azure, SQL and Excel to build data visualizations that don’t break the bank. This is an excellent choice for those who already work within Microsoft products such as Azure, Office 365 and Excel. It’s also a pretty good low-cost option for SMBs and startups that need data visualization but don’t have a lot of extra capital.

Tableau specializes in making beautiful visualizations, but most of its advertising is focused on corporate environments with data engineers and bigger budgets. There is a public (free) version of the tool, but with limited capabilities. The more you pay, the more you can access with Tableau, including benchmarked data from third parties. The software also has a utility and non-profit versions for academic environments.

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Overall, Power BI is priced lower than Tableau, with a free version, a monthly subscription, and a premium version that scales at a higher price. Although it is a Microsoft product, Power BI users do not have to pay directly for Office365 to gain access to the tool’s admin center interface. However, there will be fees for subscriptions and users. The way Power BI is set up within the Microsoft ecosystem makes it quite affordable, especially for those companies that are already deeply invested in Microsoft software.

Tableau’s pricing is a bit more confusing, likely because they recently switched from a bulk purchase to a subscription model. Current pricing is a tiered system that differentiates between different types of users. There are creators who can make visualization models and add data sources, explorers who can modify existing visualizations to answer their questions, and viewers who can look at the models others have created. If you already have a lot of data in spreadsheets and want to spend time exporting your data from third-party tools before loading it into Tableau, the price per user is quite reasonable, but still higher than what you get with Power BI. However, if you want direct connections to your third-party applications like Marketo, Google Analytics, Hadoop, or any Microsoft product, you’ll need to pay for the Professional edition.

Power BI comes in several forms: desktop, pro, premium, mobile, embedded, and report server. Depending on your role and needs, you can use one or all of these services to build and publish visualizations. The most basic setup is an Azure tenant (which you can keep after the trial ends) that you connect to your Power BI through an Office365 Admin interface. Although this sounds scary, most companies using the software will already have the framework to get the server up and running quickly. Power BI is fairly easy to use, and you can quickly connect existing spreadsheets, data sources, and applications via built-in connectors and APIs.

In addition to the free public product, Tableau also comes in several forms: individual, team, and integrated analytics plans, which are available on-premises, via a public cloud server, or a private cloud server. Tableau lets you set up your initial instance through a free trial, which gives you full access to parts of the tool. From the opening dashboard, you will see a list of all your available connections. Connect your data sources and then you can start building a worksheet where your visualizations will live. If you built your visualizations in Tableau Desktop, you can share them with your team via Tableau Server or Tableau Online.

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Power BI has API access and pre-built dashboards for quick insights into some of the most used technologies out there like Salesforce, Google Analytics, email marketing and of course Microsoft products. You can also connect to services within your organization or download files to build your own visualizations. To connect any data to Power BI, use the Get Data button. You will need to go through a short authorization process in order to fully connect.

Tableau invested heavily in integrations with popular enterprise tools and widely used connectors. You can view all the links included with your account level right away when you log into the tool. Tableau’s connection interface is a little more involved than Power BI because you’ll need to identify what data to enter into the tool when you make the connection. It can be helpful to understand what data you want to look at and why before you start making those connections.

Some companies choose to use both Tableau and Power BI to enhance their data visualizations. If this describes your company, you may want the option to examine Power BI models or Tableau datasets. You can connect the two, although you may encounter some problems if you have multi-factor authentication enabled or if a session remains idle for a long time. Before trying to connect the two, you’ll also need to make sure you have the latest versions of both platforms installed so they can communicate correctly.

Power BI has access to real-time data and some pretty useful drag and drop features. The entire tool is built to speed up visualizations time and gives even the most novice users access to powerful data analysis and discovery without much prior knowledge and experience.

What Is Software Usage Analytics?

Real time data

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